We’re looking for a talented Data Engineer for our Analytics Engineering team. In this role, you will work closely with Sales/GTM, Finance, Security, and IT stakeholders to build best in class datasets supporting analytics across the company. This is a high-impact role that will also help shape the future of Snowflake products and services.

• Design, build, and own the core data models and key infrastructure to manage data and usage across our Snowflake account with an emphasis on Security
• Design and implement a data quality monitoring system. The system should include source-to-target data validations as well as anomaly detection.
• Collaborate closely with Security, Engineering, Product Management, IT, Finance, and Compliance to inform product decision making with data and to identify opportunities for system improvements.
• Collaborate with the Security, Engineering, IT, and Compliance team to meet data governance requirements.
• Build dashboards to help IT Leadership monitor performance and availability of our system
• Answer questions from the executive team for board reporting, publications, and industry reports
• Think creatively to find optimal solutions to our complex, often unstructured & ambiguous problems

OUR IDEAL CANDIDATE WILL HAVE :

• 3-5 years experience including:
• Domain knowledge in areas such as: Sales/GTM, Finance, Security, and IT
• Designing and building complex data pipelines in a large scale data environment
• Experience with integrating data across multiple business applications
• Familiarity with developing data products to drive data science and machine learning initiatives
• Using big data to drive business impact
• Experience using Snowflake a plus
• BS in a technical field (CS, Physics, Math, etc), MS/PhD a plus.
• Proficiency in Python & SQL
• Ability to clearly present learnings to business leaders and technical stakeholders
• The ability to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful.